PROJECT AGRO
DOI:
https://doi.org/10.29121/granthaalayah.v5.i6.2017.1992Keywords:
Farmers Market, Crop Prediction, Artificial Neural Nets, BayesAbstract [English]
Agricultural is the backbone of Indian economy. India is the second largest country in the production of agricultural product. Farmers cultivate their crops against problems like monsoon failure, lack of water availability, etc. But even after they harvest their crop they are not getting proper marketing facility for their crop. We are proposing a system which reduces the gap between farmers and the consumers, which increases economic status of farmers and also provide the necessary knowledge required by the farmers for further crop production. In the survey the following details are gathered from the farmers, farmer’s details, past crops grown by them, area of agriculture land owned by them, past crop selling price, location of agriculture land, water availability etc. On the above details artificial neural nets machine learning models and Bayes data mining concepts are applied thorough which we can predict the current market for farmers along with that we can also provide the information about the type of crop they can grow to increase the crop production in future.
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